# Programmaticly build expression for JuMP NLconstraint

**URL:** <https://discourse.julialang.org/t/programmaticly-build-expression-for-jump-nlconstraint/34950>\
**Category:** Optimization (Mathematical)\
**Tags:** jump, optimization\
**Created:** [February 21, 2020, 12:45am UTC](https://discourse.julialang.org/t/programmaticly-build-expression-for-jump-nlconstraint/34950 "2020-02-21T00:45:12Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [February 21, 2020, 12:50am UTC](https://discourse.julialang.org/t/programmaticly-build-expression-for-jump-nlconstraint/34950/2 "2020-02-21T00:50:13Z")

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See [Procedural Nonlinear Constaint Generation - String to NLconstraint - #4 by odow](https://discourse.julialang.org/t/procedural-nonlinear-constaint-generation-string-to-nlconstraint/34799/4) There have been a few similar questions asked over the previous few days. Pull requests to improve the documentation appreciated.

Why not declare `f` as a user-defined function? [Nonlinear Modeling · JuMP](https://www.juliaopt.org/JuMP.jl/stable/nlp/#User-defined-Functions-1)

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